I automate infrastructure and build AI tools: LLM inference on a single RTX 5090, agents with Claude Code, and the Proxmox and Docker stack they run on.
Public repositories on GitHub, most recently pushed first.
LLM server for one RTX 5090. Runs Qwen3.8-Flash-Next (512-expert MoE) on a single 32 GB card at 75-80 tok/s. Decodes 17-191 % faster than llama.cpp on the same models. Built for agents: tool calls, long context, many streams at once.
Rejection is the default: an operating manual for a Claude Code session whose job is driving other sessions and refusing anything not backed by evidence
Local-first AI prompt generator with a Gradio UI: 132 tuned roles for video, image, audio, 3D and creative AI tools. Runs uncensored Dolphin LLMs fully offline, auto-scaled to your GPU VRAM. No API keys, no cloud.
Findet den schnellsten DNS-Resolver vom eigenen Standort aus. Pure stdlib-Python, laeuft im Container.
Recover the CUDA launch and implicit-destructor edges a syntactic indexer loses, written straight into CodeGraph's SQLite graph. On imp (kekzl/imp, 240k lines of C++/CUDA): kernel launch coverage 74.2% → 99.3%, destructors 0% → 85%. On llm.c, which hides nothing, it adds 0 edges.
Eine Honigbiene fliegt im Gegenlicht durch eine Sommerwiese — Echtzeit, WebGL2, ohne Build-Schritt
Monitor Entra ID (Azure AD) application secrets and certificates for expiration. Sends alerts via Email, Teams, Slack, or Webhook before credentials expire.
A living, continually learning neuromorphic being — a spiking neural network in C++23/CUDA with purely local plasticity (STDP, R-STDP, and Feedback Alignment instead of backprop). Runs on RTX 5090.
AI-powered email sorting for MailCow - Generate smart Sieve filters automatically using Claude API or local LLMs
Analyze meeting room usage via Microsoft Graph API with a React + FastAPI dashboard